PTC Windchill Software Engineer

Job Description

Job Description

We are seeking an experienced PTC Windchill Software Engineer to design and build AI-native, agentic workflows that automate Product Lifecycle Management and New Product Introduction processes.

This role supports a Priority 2 initiative aligned to O1/KR6 focused on using AI agents to automate critical engineering activities, including part creation, Bill of Materials generation, and engineering change workflows.

The engineer will also build the integration layer required to connect the rebooted PTC Windchill platform with enterprise Master Data Management, sourcing, procurement, manufacturing, and downstream order-execution systems.

The PLM platform supports more than 120,000 parts and an increasingly complex product portfolio. The successful candidate will combine deep Windchill engineering expertise, enterprise integration skills, and practical experience with AI-enabled workflow automation to deliver scalable and production-ready solutions.

Key Responsibilities

1. AI-Native PLM Workflow Development

• Design and develop agentic workflows that automate high-volume PLM and NPI activities.
• Build AI-enabled capabilities for:
• Part creation
• Part classification
• Part Clientdata enrichment
• Bill of Materials generation
• BOM validation
• Engineering change creation
• Engineering change impact analysis
• Workflow routing and approval
• Implement human-in-the-loop controls for high-risk or business-critical decisions.
• Develop explainable recommendations and traceability for AI-generated actions.
• Ensure agents operate within approved business rules, permissions, and governance controls.
• Support proactive and event-driven automation across PLM workflows.

2. PTC Windchill Software Engineering

• Design, configure, customize, and enhance PTC Windchill applications.
• Develop Windchill extensions using Java, Windchill APIs, services, workflows, and event frameworks.
• Configure:
• Parts and product structures
• Lifecycle templates
• Object types and attributes
• Workflows
• Change-management processes
• Access controls
• Business rules
• Validation logic
• Develop reusable components and technical frameworks.
• Ensure customizations remain supportable and aligned with PTC-recommended architecture.
• Optimize application performance and scalability for large PLM datasets.

3. Part-Creation Automation

• Automate creation of new part records using approved engineering and business data.
• Integrate with MDM systems to validate part numbers, classifications, naming standards, and ownership.
• Prevent duplicate or incomplete part creation.
• Apply required attributes, lifecycle states, classifications, and compliance Clientdata.
• Implement exception handling and approval workflows for ambiguous or incomplete requests.
• Maintain end-to-end auditability of automated part-creation decisions.

4. BOM Generation and Management

• Develop intelligent workflows to create, validate, and update engineering BOMs.
• Generate BOM structures from approved source data, engineering inputs, templates, or prior product configurations.
• Validate component relationships, quantities, revisions, alternates, effectivity, and usage rules.
• Detect missing, duplicate, obsolete, or incompatible components.
• Support comparison of existing and proposed BOM configurations.
• Enable controlled handoff from engineering BOMs to manufacturing and execution systems.
• Ensure BOM automation supports increasing product and configuration complexity.

5. Engineering Change Automation

• Build automated workflows for Engineering Change Requests, Engineering Change Notices, and related change objects.
• Automate impact analysis across affected parts, BOMs, documents, products, suppliers, and downstream systems.
• Route changes based on product, risk, cost, ownership, and organizational rules.
• Generate recommended reviewers and approvers.
• Support change validation, approval, implementation, and closure.
• Provide status visibility and exception management across the engineering change lifecycle.
• Reduce manual intervention while maintaining governance and segregation of duties.

6. Enterprise Integration Engineering

Build and maintain integrations between Windchill and:

• Master Data Management systems
• Sourcing and supplier platforms
• Procurement applications
• ERP systems
• Manufacturing and execution platforms
• Order-management and downstream order-execution systems
• Data platforms and analytics environments
• AI and orchestration platforms

Key responsibilities include:

• Developing REST, SOAP, event-driven, file-based, and middleware integrations.
• Designing canonical data models and interface contracts.
• Supporting real-time and batch data exchanges.
• Implementing validation, reconciliation, retry, and error-handling mechanisms.
• Maintaining data consistency across enterprise platforms.
• Monitoring interface performance and resolving integration failures.

7. AI and Agent Architecture

• Integrate Windchill with enterprise AI platforms and large language models.
• Develop tools and APIs that allow agents to securely retrieve and update PLM data.
• Implement retrieval mechanisms grounded in approved product, engineering, and policy data.
• Build agent orchestration across PLM, MDM, sourcing, and execution systems.
• Design safeguards to prevent unauthorized, unsupported, or incorrect system changes.
• Implement confidence thresholds, approval gates, rollback mechanisms, and audit trails.
• Monitor agent behavior and identify recurring failure patterns.
• Support prompt, workflow, model, and tool-version management.

8. Data Quality and Governance

• Establish validation rules for part, BOM, supplier, sourcing, and engineering change data.
• Identify and remediate incomplete, inconsistent, duplicate, or outdated records.
• Support product-data lineage and traceability across integrated systems.
• Enforce data ownership, access, retention, and classification requirements.
• Ensure AI-generated transactions meet enterprise data-quality standards.
• Partner with MDM and governance teams to maintain a consistent product-data model.

9. Testing and Quality Engineering

• Develop unit, integration, regression, performance, and security tests.
• Create evaluation scenarios for AI-generated PLM actions.
• Test standard, edge, negative, and exception-based workflows.
• Validate outputs against business rules and expected engineering outcomes.
• Support system integration testing and user acceptance testing.
• Automate testing within CI/CD pipelines where feasible.
• Ensure releases meet functional, technical, security, and operational-readiness standards.

10. Deployment and Production Support

• Support release planning, deployment, cutover, and post-production hypercare.
• Provide L2 and L3 support for Windchill customizations and integrations.
• Troubleshoot application, workflow, data, integration, and performance issues.
• Lead root-cause analysis for high-severity and recurring incidents.
• Implement corrective and preventive actions.
• Maintain runbooks, technical documentation, architecture diagrams, and support procedures.
• Coordinate with PTC Support and internal platform teams for complex product issues.

11. Cross-Functional Collaboration

• Partner with PLM Product Owners, Engineering, NPI, Manufacturing, Sourcing, Procurement, MDM, Enterprise Architecture, Data Engineering, and AI teams.
• Translate business requirements into technical designs and implementation plans.
• Participate in architecture reviews, design workshops, sprint planning, and release governance.
• Communicate technical risks, dependencies, decisions, and trade-offs.
• Provide technical guidance and knowledge transfer to development and support teams.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline.
• 5+ years of enterprise software-engineering experience.
• 3+ years of hands-on PTC Windchill development experience.
• Strong experience with:
• Java and J2EE
• Windchill APIs and services
• Windchill workflows
• Object models and lifecycle configuration
• REST and SOAP integrations
• SQL and enterprise data models
• Experience with Windchill PDMLink, change management, part management, and BOM structures.
• Experience integrating PLM with MDM, ERP, sourcing, procurement, or manufacturing systems.
• Strong understanding of software design patterns, API design, security, and CI/CD.
• Experience working in Agile or Scrum delivery models.
• Strong analytical, troubleshooting, and communication skills.

Preferred Qualifications

• Experience building AI agents, workflow automation, or generative-AI applications.
• Knowledge of agent orchestration, tool calling, retrieval-augmented generation, and human-in-the-loop design.
• Experience with Python, AI APIs, vector databases, or model-evaluation frameworks.
• Experience with PTC ThingWorx, Navigate, Info*Engine, or Windchill Enterprise Systems Integration.
• Knowledge of product master data, sourcing, procurement, and order-execution processes.
• Experience supporting complex hardware, infrastructure, semiconductor, or manufacturing environments.
• Familiarity with cloud platforms, event streaming, middleware, and containerized services.
• PTC Windchill or relevant cloud and AI certifications are preferred.

Key Competencies

• PTC Windchill Development
• PLM and NPI Automation
• Agentic AI Workflows
• Part and BOM Management
• Engineering Change Management
• Enterprise Integration Engineering
• MDM and Product Data Integration
• Java and API Development
• Data Quality and Governance
• CI/CD and Test Automation
• Production Support
• Cross-Functional Technical Leadership

Success Measures

• Successful delivery of AI-native part-creation workflows.
• Measurable reduction in manual effort for part setup and classification.
• Successful automation of BOM generation and validation.
• Faster and more consistent engineering change processing.
• Reliable integration between Windchill, MDM, sourcing, and downstream execution systems.
• Reduced duplicate, incomplete, and inconsistent product records.
• High traceability and auditability of AI-generated actions.
• Stable platform performance across more than 120,000 managed parts.
• Improved NPI cycle time and engineering productivity.
• High availability and timely resolution of production issues.
• Secure, scalable, and maintainable software aligned with enterprise architecture standards.

Business Justification

The PTC Windchill PLM reboot establishes the foundation for managing a product portfolio of more than 120,000 parts, increasing product complexity, and expanding engineering and manufacturing requirements.

However, the platform cannot deliver its full value without a dedicated software engineer to automate PLM processes and connect Windchill with MDM, sourcing, procurement, manufacturing, and downstream order-execution systems.

The proposed role will deliver AI-native workflows for part creation, BOM generation, and engineering change management while building the integration capabilities required for end-to-end product-data flow. This investment is essential to reduce manual engineering effort, improve data quality, accelerate NPI, and ensure that the new PLM platform operates as part of a connected enterprise ecosystem.